As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.

A great candidate is excited to grow our use of machine learning, AI, and other sophisticated algorithms to build a better user experience. Design and implement machine learning models to power highly personalized experiences throughout the Raya app. Work in a high-impact environment with rapid development and product iteration. Contribute to core ML platform components for scalable model training, deployment, and productionization.

Lead development teams to ensure sprint commitments are met, fostering a collaborative environment for AI/ML exploration. Drive the design and implementation of AI solutions, establish AI testing and validation best practices, and provide clear direction on AI project scope. Mentor developers, improve delivery processes, and evaluate skills in recruiting interviews.

Were looking for a Lead Machine Learning Engineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You'll be tackling a range of challenges that will require analytical thinking and keen instincts, as well as an understanding of our domain and how our users behave.

Join the team to help transform the private markets, and work alongside a talented and collaborative team on a key product feature, bringing cutting-edge AI innovation with executive visibility and high impact. As an intern, you’ll have a hands-on role in designing, building, and testing new AI-driven product features contributing meaningfully to a product that’s reshaping how the private markets operate.

Design, develop, and deploy Agentic AI, helping build and iterate on a production agent architecture involving LLMs, RAG, and context/memory management. Develop and manage AI/ML infrastructure and lifecycle, contributing to the full AI/ML lifecycle from development to production. Collaborate within a cross-functional team to translate business requirements into ML solutions. Keep pace with research in machine learning, large language models, and cyber security.

We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. The successful candidate will design, develop, and implement innovative solutions to our customers' problems. The Senior ML Engineer will work closely with data engineers, product managers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications.

Bring AI solutions to our existing Web App, shipping full-stack AI projects end to end using pre-trained models. Build and integrate components for Ordio’s AI infrastructure, supporting production-level inference and fine-tuning. Write clean, efficient, and maintainable code for AI-driven applications, APIs, and user interfaces using best practices. Design and implement internal and external MCP Server, enabling interaction with services through chat-based user input. Develop and execute unit, integration, and system tests to ensure the reliability and robustness of AI solutions.

Define and lead the ML roadmap for Canva’s User Voice supergroup, building production-ready NLP models, with a focus on Agentic AI and LLMs, to power user-facing support tools. Build end-to-end ML pipelines for large-scale model training, evaluation, and deployment. You’ll lead Canva’s ML support evolution and help shape how AI transforms how users engage with help at scale.

Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with a diverse solutions delivery team. Support the Solutions Delivery team in conducting assessments of the AI (Artificial Intelligence) and automation market and competitor landscape. Collaborate with stakeholders and project teams supporting process, research and development to meet the needs of AI strategy.